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An Exemplar Pyramid Feature Extraction Based Alzheimer Disease Classification Method
Published 2022“…In term of binary-class classification, we were able to achieve very good results using both GM and WM. …”
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Hybrid Neural Networks for Precise Hydronephrosis Classification Using Deep Learning
Published 2025“…The framework also supported hydronephrosis classification using the fluid-to-kidney area ratio, with a threshold of 0.213 derived from prior literature. …”
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FPGA-based Parallel Hardware Architecture for Real-time Object Classification
Published 2014“…A Master of Science thesis in Computer Engineering by Murad Mohammad Qasaimeh entitled, "FPGA-based Parallel Hardware Architecture for Real-time Object Classification," submitted in June 2014. Thesis advisor is Dr. …”
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LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
Published 2024Subjects: Get full text
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Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System
Published 2020Subjects: Get full text
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Biodegradable Magnesium Alloys for Biomedical Implants: Properties, Challenges, and Surface Modifications with a Focus on Orthopedic Fixation Repair
Published 2023“…These modifications offer opportunities to improve the long-term performance of magnesium-based biomedical implants. …”
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Anti-Bacterial and Anti-Fungal Activity of Xanthones Obtained via Semi-Synthetic Modification of α-Mangostin from Garcinia mangostana
Published 2017Subjects: “…Semi-synthetic modification…”
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Certifying quantum state and dimension via phase-space Bell tests for continuous variable systems
Published 2023Subjects: -
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Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis
Published 2019“…<p>The modification by polymers and nanomaterials can significantly improve different properties of asphalt. …”
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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation
Published 2024“…Features from MRI images are extracted using 3-D-CNN and fed into the wavelet KRR-RVFL network for brain age classification and prediction. The proposed algorithm achieved high classification accuracy, 97.22%, 99.31%, and 95.83% for GM, WM, and CSF regions, respectively. …”
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Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification
Published 2020Subjects: -
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EOG-Based Reading Detection in the Wild Using Spectrograms and Nested Classification Approach
Published 2023Subjects: